Borrowing it
Nothing to install: this file belongs to laoluojuhai/ai-canvas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/laoluojuhai/ai-canvas/main/CLAUDE.mdgit clone --depth 1 https://github.com/laoluojuhai/ai-canvasWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/laoluojuhai/ai-canvas/claude-md)<a href="https://agentmods.dev/instructions/laoluojuhai/ai-canvas/claude-md"><img src="https://agentmods.dev/badge/instructions/laoluojuhai/ai-canvas/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/laoluojuhai/ai-canvas/claude-md"><img src="https://agentmods.dev/badge/instructions/laoluojuhai/ai-canvas/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.07787 | $0.07787 |
| Opus 5 | $0.03893 | $0.03893 |
| Sonnet 5 | $0.01557 | $0.01557 |
| Haiku 4.5 | $0.00779 | $0.00779 |
Grade A, and why
ai-canvas CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 699 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
本文件为 Claude Code (claude.ai/code) 在此代码仓库中工作时提供指导。
项目概述
AI-Canvas 是一个 AI 原生设计工具，使用 TypeScript 构建。项目提供类型安全、语义驱动、可逆的设计文档系统，完整集成 MCP（Model Context Protocol）协议供 AI 助手使用。
开发流程规范
全流程概览
需求 → 澄清 → 计划 → 实现 → 评审 → 验证 → 交付
| 阶段 | 动作 | 子代理 | 产出 |
|---|---|---|---|
| 需求 | 理解用户意图 | Explore |
需求理解 |
| 澄清 | 提问消除歧义 | Plan |
明确需求 |
| 计划 | 3个方案 → spec.md | architect + planner |
spec.md |
| 实现 | TDD: 测试先行 | tdd-guide |
代码 + 测试 |
| 评审 | 代码 + 安全审查 | code-reviewer + security-reviewer |
审查报告 |
| 验证 | typecheck + test | build-error-resolver |
通过验证 |
| 交付 | 提交 + 文档对齐 + 经验回写 | - | 完成提交 |
1. 任务管理
制定计划 → 更新 TASKS.md → 按任务执行 → 自动提交 → 推送远端
任务文件: TASKS.md - 追踪所有开发任务和里程碑
2. Plan Mode 工作流程
- 进入 Plan Mode
- "给我3个方案，从最简单开始"
- 选方案后："写个 spec.md，包含需求、技术栈"
- 审核 spec
- 退出 Plan Mode 开始执行
- 先写测试，后写代码
- 变更完成后对齐相关文档
- 问题修复成功后，补充本次可复用的开发经验
3. 验证流程
| 阶段 | 命令 | 检查项 |
|---|---|---|
| 提交前 | corepack pnpm typecheck |
TypeScript 类型检查 |
| 推送前 | corepack pnpm test |
typecheck + 单元测试 |
| CI | corepack pnpm build |
typecheck + test + 构建 |
3.1 共享开发经验
以下经验与 README.md、Gemini.md 保持一致，修改时必须同步三份文档：
- 命令写法统一使用
corepack pnpm ... - 包级验证统一使用
corepack pnpm --filter <package> ... - 依赖其他包声明产物的包，先构建依赖包，再执行包级
typecheck/test - 文档里的数量和能力说明必须以代码为准，避免手填数字漂移
- 打开或收紧 CI 质量门禁前，先本地验证当前基线
- 多 Registry 发布必须 fail fast，不能接受登录静默失败
- 测试修复优先使用类型收窄和接口对齐，避免扩大
as any - 功能、命令、流程、工具数量变更时，同步
README.md、CLAUDE.md、Gemini.md - 每次问题修复成功后，都要把可复用的经验记录到开发文档，至少同步
CLAUDE.md和Gemini.md Node是联合类型，只有FrameNode和GroupNode有children，访问前必须用类型守卫hasChildren()SizeValue是联合类型（fixed/fill-container/fit-content/percentage），只有type === "fixed"才有value属性BindingRef的属性名是name（不是binding），参考packages/core/src/types/ref.ts- 品牌类型（
NodeId/PageId）交叉转换需要as unknown as TargetType，不能直接as - 异步函数调用结果取属性时注意优先级：
(await fn()).prop而非await fn().prop OffscreenCanvas在 Node.js 测试环境不可用，需要在 vitest setup 中提供 polyfill- Playwright E2E 测试文件（
e2e/*.spec.ts）需要在 vitest 配置中排除，避免被 vitest 误收集
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 699 lines · 7,787 tokens per session scan A 5e3b0ad37099
ai-canvas CLAUDE.md is an instructions file published in the GitHub repository laoluojuhai/ai-canvas (1 stars, last pushed 5mo ago), licensed MIT. It adds 7,787 tokens to every session, about $0.0389 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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